"CROP DISEASE DETECTION SYSTEM PROJECT REPORT."

"Farmers find difficulties in identifying and detecting as well as treating the plant diseases and itscause. And Fruits are more prone to diseases depending on the season and environmentalconditions they grow during cultivation also they get more infections. The early and traditionalmethod of predicting the disease in fruits and plants is very difficult. Using the proposed modelone can make a huge dataset of different types of fruits and its diseases with huge number ofimages stored in different folders for processing the data set. Each data set Is categorized withtype of disease and fruit. This system is trained and tested easily Artificial Neural Networking isused to learn and classify categorize the fruits and diseases. Proposed model can detect accuratedisease and get preventive measures and some suggestions to the farmers. This system willbenefit the farmers across the world."